Intensive Psychiatric Rehabilitation Treatment Attendance

An exploration of data gathered from the intake process at an Intensive Psychiatric Rehabilitation Treatment (IPRT) Program in New York State looked for possible relationships between consumer characteristics and attendance drop off during the second month of a two-month class cycle. A review of literature was followed by reporting the analysis of data collected. Several findings point to further exploration such as the impact of substance use disorders on attendance. Another area for future exploration is validation of the Rehabilitation Readiness Determination Scale used in the intake process. This scale was originally developed for people with schizophrenia and schizoaffective disorder and the population now being served at the Focus Program has a diagnosis of mood disorders

Intermediate reading exercises for use with the Durrell Analysis of Reading Difficulty.

Thesis (Ed.M.)--Boston Universit

Effects of seed mix and surrounding land cover on Asclepias syriaca density in the Conservation Reserve Program\u27s Pollinator Habitat plantings

Due to the importance of Asclepias syriaca (common milkweed) to the eastern population of the monarch butterfly (Danaus plexippus), it is usually recommended for planting by federal conservation programs and state monarch recovery plans. However, A. syriaca has long been considered a weed, and is commonly found in roadsides and other disturbed landscapes where it has not been deliberately introduced. We wanted to determine if seeding A. syriaca is necessary for its establishment, or if milkweed populations in the surrounding landscape could spread into the plantings. In this study, we examined the density of A. syriaca in relation to the seeding rate and surrounding land cover in the Conservation Reserve Program’s Pollinator Habitat Initiative (CP-42) plantings. In June and July of 2018 and 2019, we surveyed 45 CP-42 plantings for milkweed density. In ArcGIS, we created a 1 km buffer around each site and calculated the percentage of land within the buffer covered in road, forest, and habitat suitable for A. syriaca. We found a significant positive correlation between A. syriaca density and the rate at which it was seeded. There was no correlation found between A. syriaca density and surrounding land cover categories. Based on these results, we determined that seeding rate is important for establishing higher densities of A. syriaca in CP-42 plantings. At this time, we cannot draw conclusions on the importance of surrounding land cover on A. syriaca density. By understanding the density of A. syriaca in CP-42 plantings, we can adapt policy and management to efficiently provide crucial habitat for monarchs and other pollinators

An Analysis of Consumer Behavior on Black Friday

The purpose of this study was to observe and analyze the consumer behaviors and commentary of the Black Friday customer. An observational instrument documented consumer in-line behavior while waiting for the stores to open, store entry behavior, and individual behavior. Findings show that the majority of the shoppers demonstrated calmness, courteousness, and happiness during the shopping experience; however, a number of shoppers exhibited negative and potentially dangerous behaviors which pose a safety concern for store personnel and other shoppers. Implications for retailers, researchers, and family and consumer sciences educators are discussed

Instructional Improvement Through Individual Consultation

Theoretical Bases: Theory 1: Instructional Interaction Theory 2: Student Differences Theory 3: Change The Approach An Example: Step 1: Identify the Instructor\u27s Major Concerns Step 2: Challenge Instructor\u27s Concepts of Teaching Step 3: Formulate Alternative Teaching Approaches Step 4: Evaluate New Approach Conclusions Reference

Instructional Improvement Through Individual Consultation

Theoretical Bases: Theory 1: Instructional Interaction Theory 2: Student Differences Theory 3: Change The Approach An Example: Step 1: Identify the Instructor\u27s Major Concerns Step 2: Challenge Instructor\u27s Concepts of Teaching Step 3: Formulate Alternative Teaching Approaches Step 4: Evaluate New Approach Conclusions Reference

University of Michigan Health OER Student Team

Poster presented at Clinton Global Initiative University conference in 2019https://deepblue.lib.umich.edu/bitstream/2027.42/149194/1/2009-03-CGIU Health OER Poster-Final.pdfDescription of 2009-03-CGIU Health OER Poster-Final.pdf : Poster (PDF

Dual channel rank-based intensity weighting for quantitative co-localization of microscopy images

BACKGROUND: Accurate quantitative co-localization is a key parameter in the context of understanding the spatial co-ordination of molecules and therefore their function in cells. Existing co-localization algorithms consider either the presence of co-occurring pixels or correlations of intensity in regions of interest. Depending on the image source, and the algorithm selected, the co-localization coefficients determined can be highly variable, and often inaccurate. Furthermore, this choice of whether co-occurrence or correlation is the best approach for quantifying co-localization remains controversial. RESULTS: We have developed a novel algorithm to quantify co-localization that improves on and addresses the major shortcomings of existing co-localization measures. This algorithm uses a non-parametric ranking of pixel intensities in each channel, and the difference in ranks of co-localizing pixel positions in the two channels is used to weight the coefficient. This weighting is applied to co-occurring pixels thereby efficiently combining both co-occurrence and correlation. Tests with synthetic data sets show that the algorithm is sensitive to both co-occurrence and correlation at varying levels of intensity. Analysis of biological data sets demonstrate that this new algorithm offers high sensitivity, and that it is capable of detecting subtle changes in co-localization, exemplified by studies on a well characterized cargo protein that moves through the secretory pathway of cells. CONCLUSIONS: This algorithm provides a novel way to efficiently combine co-occurrence and correlation components in biological images, thereby generating an accurate measure of co-localization. This approach of rank weighting of intensities also eliminates the need for manual thresholding of the image, which is often a cause of error in co-localization quantification. We envisage that this tool will facilitate the quantitative analysis of a wide range of biological data sets, including high resolution confocal images, live cell time-lapse recordings, and high-throughput screening data sets

Management of type 2 diabetes mellitus in people with severe mental illness: an online cross-sectional survey of healthcare professionals

© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/Objectives To establish healthcare professionals' (HCPs) views about clinical roles, and the barriers and enablers to delivery of diabetes care for people with severe mental illness (SMI). Design Cross-sectional, postal and online survey. Setting Trusts within the National Health Service, mental health and diabetes charities, and professional bodies. Participants HCPs who care for people with type 2 diabetes mellitus (T2DM) and/or SMI in the UK. Primary and secondary outcome measures The barriers, enablers and experiences of delivering T2DM care for people with SMI, informed by the Theoretical Domains Framework. Results Respondents were 273 HCPs, primarily mental health nurses (33.7%) and psychiatrists (32.2%). Only 25% of respondents had received training in managing T2DM in people with SMI. Univariate analysis found that mental health professionals felt responsible for significantly fewer recommended diabetes care standards than physical health professionals (P<0.001). For those seeing diabetes care as part of their role, the significant barriers to its delivery in the multiple regression analyses were a lack of knowledge (P=0.003); a need for training in communication and negotiation skills (P=0.04); a lack of optimism about the health of their clients (P=0.04) and their ability to manage T2DM in people with SMI (P=0.003); the threat of being disciplined (P=0.02); fear of working with people with a mental health condition (P=0.01); a lack of service user engagement (P=0.006); and a need for incentives (P=0.04). The significant enablers were an understanding of the need to tailor treatments (P=0.04) and goals (P=0.02) for people with SMI. Conclusions This survey indicates that despite current guidelines, diabetes care in mental health settings remains peripheral. Even when diabetes care is perceived as part of an HCP's role, various individual and organisational barriers to delivering recommended T2DM care standards to people with SMI are experienced.Peer reviewe